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HTML Table in Pandas with Single Header Row

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by Abdul Rawoof A R dot icon Updated: Feb 28, 2023

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A table representing user data in rows and columns arrangement is known as HTML Table, which looks like a spreadsheet. With the help of HTML tables, we can arrange data like images, text, links, and so on into rows and columns of cells. 


Three main parts of the HTML table: 

  • <tr>: element that defines a table row. 
  • <th>: element that defines a table header. 
  • <td>: element that defines a table cell. 


In Pandas, we can read tables of an HTML file using the read_html() function. This function reads the table of the HTML file as Pandas DataFrames and can read from a file or a URL. We can also get data from an HTML table using this same read_html() function, which is simpler and faster. The scraped tables need some cleaning processing. This function also provides an interesting input parameter called the match, which can be exploited to extract very specific tables within a complex HTML page. This Pandas read_html() function mainly extracts data from HTML tables and returns a list of all the tables. Note that the pandas read_html function only returns a list of Pandas DataFrame objects. 


Here is an example of how to implement an HTML table in Pandas with a single header row: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas library.

HTML table in pandas with single header row

PythondotLines of Code : 28dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import numpy as np
import pandas as pd

df = pd.DataFrame([[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]],
                 columns = ['attr_a', 'attr_b', 'attr_c', 'attr_c'])

df.columns.name = 'ID'
df.index.name = 'Cores'
df

ID  attr_a  attr_b  attr_c  attr_c
Cores               
0        1       2       3       4
1        5       6       7       8
2        9      10      11      12
3       13      14      15      16

df.columns.name='Cores'
df.index.name = None
df.to_html()


Cores   attr_a  attr_b  attr_c  attr_c
0            1       2       3       4
1            5       6       7       8
2            9      10      11      12
3           13      14      15      16

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for 'display table of content using pandas' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.


Using this solution, we are able to implement HTML table in pandas with single row header with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to implement HTML table in pandas with single row header.

Dependent Library

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Support
    Quality
      Security
        License
          Reuse

            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      You can also search for any dependent libraries on kandi like 'pandas'.

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